Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data

21 pages, 9 figures, 1 table

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Bibliographic Details
Main Authors: Chaparro, David, Piles, María, Vall-llossera, Mercè
Other Authors: Ministerio de Economía y Competitividad (España)
Format: capítulo de libro biblioteca
Published: Elsevier 2016
Online Access:http://hdl.handle.net/10261/148708
http://dx.doi.org/10.13039/501100003329
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spelling dig-icm-es-10261-1487082020-12-21T13:24:39Z Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data Chaparro, David Piles, María Vall-llossera, Mercè Ministerio de Economía y Competitividad (España) 21 pages, 9 figures, 1 table Wildfires are an increasingly concerning issue due to their impact on safety, environment, and the economy. Although natural fires are in part essential to maintain dynamics, biodiversity, and productivity in some ecosystems, their damages are huge in economic and environmental terms (FAO, 2006; Ireland and Petropoulos, 2015; Karamesouti et al., 2016). Usually, forest fires occur in patchy landscapes, affecting agricultural and urban areas, and in some cases, seriously threatening human lives. [...] This study was funded by the Spanish government through the project PROMISES: Productos y servicios innovadors con sensores de microondas, SMOS y Sentinels para tierra (ESP2015-67549-C3-1-R), the pre-doctoral grant Ayudas para contratos predoctorales para la Formación de Doctores, with reference BES-2013-066240, and the European Regional DevelopmentFund (ERDF) Peer Reviewed 2017-04-24T06:18:06Z 2017-04-24T06:18:06Z 2016 2017-04-24T06:18:06Z capítulo de libro http://purl.org/coar/resource_type/c_3248 isbn: 978-0-12-803388-3 Satellite Soil Moisture Retrieval : Techniques and Applications 13: 249–269 (2016) http://hdl.handle.net/10261/148708 10.1016/B978-0-12-803388-3.00013-9 http://dx.doi.org/10.13039/501100003329 #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2015-67549-C3-2-R https://doi.org/10.1016/B978-0-12-803388-3.00013-9 Sí none Elsevier
institution ICM ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icm-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICM España
description 21 pages, 9 figures, 1 table
author2 Ministerio de Economía y Competitividad (España)
author_facet Ministerio de Economía y Competitividad (España)
Chaparro, David
Piles, María
Vall-llossera, Mercè
format capítulo de libro
author Chaparro, David
Piles, María
Vall-llossera, Mercè
spellingShingle Chaparro, David
Piles, María
Vall-llossera, Mercè
Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
author_sort Chaparro, David
title Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
title_short Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
title_full Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
title_fullStr Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
title_full_unstemmed Remotely Sensed Soil Moisture as a Key Variable in Wildfires Prevention Services: Towards New Prediction Tools Using SMOS and SMAP Data
title_sort remotely sensed soil moisture as a key variable in wildfires prevention services: towards new prediction tools using smos and smap data
publisher Elsevier
publishDate 2016
url http://hdl.handle.net/10261/148708
http://dx.doi.org/10.13039/501100003329
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